As we navigate the digital era of the 21st century, cyber security has grown into a pressing societal issue that requires innovative, cutting-edge solutions. In response to this pressing need, Artificial Intelligence (AI) has emerged as a revolutionary instrument, causing a paradigm shift in cyber security. AI's prowess resides in its capacity to process and analyze immense quantities of heterogeneous cyber security data, thereby facilitating the efficient completion of crucial tasks. These duties, which include threat detection, asset prioritization, and vulnerability management, are performed with a level of speed and accuracy that far exceeds human capabilities, thereby transforming our approach to cyber security. This document provides a comprehensive dissection of AI's profound impact on cyber security, as well as an in-depth analysis of how AI tools not only augment, but in many cases transcend human-mediated processes. By delving into the complexities of AI implementation within the realm of cyber security, we demonstrate the potential for AI to effectively anticipate, identify, and preempt cyber threats, empowering organizations to take a proactive stance towards digital safety. Despite these advancements, it is essential to consider the inherent limitations of AI. We emphasize the need for sustained human oversight and intervention to ensure that cyber security measures are proportionate and effective. Importantly, we address potential ethical concerns and emphasize the significance of robust governance structures for the responsible and transparent use of artificial intelligence in cyber security. This paper clarifies the transformative role of AI in reshaping cyber security strategies, thereby contributing to a safer, more secure digital future. In doing so, it sets the groundwork for further exploration and discussion on the use of AI in cyber security, a discussion that is becoming increasingly important as we continue to move deeper into the digital age.
{"title":"Artificial Intelligence","authors":"Sarvesh Kumar, Upasana Gupta, Arvind Kumar Singh, Avadh Kishore Singh","doi":"10.57159/gadl.jcmm.2.3.23064","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.3.23064","url":null,"abstract":"As we navigate the digital era of the 21st century, cyber security has grown into a pressing societal issue that requires innovative, cutting-edge solutions. In response to this pressing need, Artificial Intelligence (AI) has emerged as a revolutionary instrument, causing a paradigm shift in cyber security. AI's prowess resides in its capacity to process and analyze immense quantities of heterogeneous cyber security data, thereby facilitating the efficient completion of crucial tasks. These duties, which include threat detection, asset prioritization, and vulnerability management, are performed with a level of speed and accuracy that far exceeds human capabilities, thereby transforming our approach to cyber security. This document provides a comprehensive dissection of AI's profound impact on cyber security, as well as an in-depth analysis of how AI tools not only augment, but in many cases transcend human-mediated processes. By delving into the complexities of AI implementation within the realm of cyber security, we demonstrate the potential for AI to effectively anticipate, identify, and preempt cyber threats, empowering organizations to take a proactive stance towards digital safety. Despite these advancements, it is essential to consider the inherent limitations of AI. We emphasize the need for sustained human oversight and intervention to ensure that cyber security measures are proportionate and effective. Importantly, we address potential ethical concerns and emphasize the significance of robust governance structures for the responsible and transparent use of artificial intelligence in cyber security. This paper clarifies the transformative role of AI in reshaping cyber security strategies, thereby contributing to a safer, more secure digital future. In doing so, it sets the groundwork for further exploration and discussion on the use of AI in cyber security, a discussion that is becoming increasingly important as we continue to move deeper into the digital age.","PeriodicalId":486271,"journal":{"name":"Journal of Computers Mechanical and Management","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135783006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.57159/gadl.jcmm.2.3.23080
Ved Prakash, Shubham Pratap Singh
In the rapidly evolving banking sector, understanding the relationship between service quality and customer satisfaction, particularly in rural public sector banks, is crucial. This research focuses on selected rural public sector banks in Lucknow District, Uttar Pradesh, India, investigating the dimensions of service quality and their impact on customer satisfaction. The study employs a quantitative research design, utilizing the SERVQUAL model for data collection and statistical analysis. Findings reveal that dimensions such as Tangibility, Reliability, Responsiveness and Empathy significantly influence customer satisfaction, with variations in their effects. The research highlights the importance of enhancing specific service quality factors to improve overall customer satisfaction and provides valuable insights for the rural banking sector. The study's outcomes shall guide targeted efforts in policy formulation, thereby contributing to the sustainable development of rural communities through enhanced public sector banking services.
{"title":"Service Quality and Customer Satisfaction in Rural Public Sector Banks","authors":"Ved Prakash, Shubham Pratap Singh","doi":"10.57159/gadl.jcmm.2.3.23080","DOIUrl":"https://doi.org/10.57159/gadl.jcmm.2.3.23080","url":null,"abstract":"In the rapidly evolving banking sector, understanding the relationship between service quality and customer satisfaction, particularly in rural public sector banks, is crucial. This research focuses on selected rural public sector banks in Lucknow District, Uttar Pradesh, India, investigating the dimensions of service quality and their impact on customer satisfaction. The study employs a quantitative research design, utilizing the SERVQUAL model for data collection and statistical analysis. Findings reveal that dimensions such as Tangibility, Reliability, Responsiveness and Empathy significantly influence customer satisfaction, with variations in their effects. The research highlights the importance of enhancing specific service quality factors to improve overall customer satisfaction and provides valuable insights for the rural banking sector. The study's outcomes shall guide targeted efforts in policy formulation, thereby contributing to the sustainable development of rural communities through enhanced public sector banking services.","PeriodicalId":486271,"journal":{"name":"Journal of Computers Mechanical and Management","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135944064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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